"Exploring OpenAPI/Swagger Specifications" matching MCP servers:

An MCP server for the iNavi Maps API that gives AI assistants iNavi Maps API specifications and ready-to-use HTML templates for interactive map visualizations (geocoding, POI search, route planning).

An MCP server for exploring British and Irish hills (Munros, Wainwrights, Corbetts, Marilyns) with offline search, nearby hills, and detailed hill data, no API key required.

Enables AI agents to search fireworks by technical specifications and budget, check stock availability, locate Nova Poshta branches and parcel lockers, and place orders with secure Monobank online checkout.

An MCP server that enables interaction with the Strava API v3 to manage fitness activities, athlete profiles, segments, and routes. It supports retrieving detailed performance metrics, exploring geographic data, and managing club information through natural language.

Enables searching RescueGroups.org for adoptable animals by species, postal-code radius, breed, and traits, and exploring the rescues/shelters that list them, including full details, photos, contact info, and adoption process.

Enables querying and exploring ArcGIS geospatial data from Town of Oro Valley, Arizona, including parcels, zoning, and city services.

Enables searching and exploring the AWS re:Invent 2026 session catalog by keyword or natural-language meaning, along with venue travel estimates and official AWS event links.

Enables querying and exploring the City of Worcester's open data portal (ArcGIS Hub) through natural language, including dataset search, type filtering, schema inspection, spatial point-in-polygon queries, and geocoding.

Enables querying and exploring City of Austin open geospatial data (parcels, zoning, transport, parks) via ArcGIS, with tools to search datasets, query layers, and retrieve schema info.

Enables querying and exploring City of Eagan open geospatial data (parcels, zoning, public works) via ArcGIS Feature Services, supporting dataset search, layer query, and schema inspection through natural language.

Enables exploring recent USGS earthquakes by magnitude, depth, place, and time range through an interactive map widget, along with detailed event records and impact/reconstruction assessments.

Agentic AI scheduling infrastructure for field service teams. Match crews to jobs by location, skills, and availability — with sub-3-second cascade rescheduling.